A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes.
Bjarne A. GrimstadKristian LøvlandLars Struen ImslandVidar GunnerudPublished in: CoRR (2024)
Keyphrases
- industrial processes
- multi unit
- latent variable models
- semi supervised
- latent variables
- fault detection
- combinatorial auctions
- quality improvement
- labeled data
- semi supervised learning
- budget constraints
- real valued
- unlabeled data
- latent space
- supervised learning
- active learning
- generative model
- latent dirichlet allocation
- bidding strategies
- pairwise
- learning problems
- manifold learning
- hidden markov models
- gaussian process
- hidden variables
- random variables
- decision making
- pairwise constraints
- discriminative learning
- genetic algorithm
- resource allocation
- fault diagnosis
- probabilistic model